• Connected Schema Markup: Key for AI Search

  • 2025/03/27
  • 再生時間： 15 分
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Connected Schema Markup: Key for AI Search

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  • In this episode, we discuss connected schema markup, a method for improving search engine optimization. Schema markup structures data on web pages to make it easier for search engines to understand the content. Connected schema markup goes beyond this by linking entities on the website to external knowledge sources such as Wikidata. This improves the understanding of content, strengthens E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and optimizes for AI-powered search, which can ultimately lead to better visibility and more organic traffic. The article also clarifies the difference between web pages and knowledge graphs and how connected schema markup links them together.

    Work with me: ⁠⁠www.dodlerconsulting.de ⁠⁠

    Visit my personal site: ⁠⁠www.ralfdodler.de⁠
    続きを読む 一部表示

あらすじ・解説

In this episode, we discuss connected schema markup, a method for improving search engine optimization. Schema markup structures data on web pages to make it easier for search engines to understand the content. Connected schema markup goes beyond this by linking entities on the website to external knowledge sources such as Wikidata. This improves the understanding of content, strengthens E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and optimizes for AI-powered search, which can ultimately lead to better visibility and more organic traffic. The article also clarifies the difference between web pages and knowledge graphs and how connected schema markup links them together.

Work with me: ⁠⁠www.dodlerconsulting.de ⁠⁠

Visit my personal site: ⁠⁠www.ralfdodler.de⁠
続きを読む 一部表示

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